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Representational connectivity model (ReNA-RC)

Source: R/repnet_model.R
repnet_model.Rd

For each ROI or searchlight, computes representational connectivity between the ROI RDM and a seed RDM, optionally controlling for confound RDMs (block, lag, behavior, etc.).

Usage

repnet_model(
  dataset,
  design,
  repnet_des,
  distfun = cordist(method = "pearson"),
  simfun = c("pearson", "spearman"),
  ...
)

Arguments

dataset

An mvpa_dataset.

design

An mvpa_design.

repnet_des

Output of repnet_design.

distfun

Distance function for ROI RDM (e.g. cordist(method = "pearson")).

simfun

Character: similarity metric between ROI and seed RDMs ("pearson" or "spearman").

...

Extra fields stored on the model spec.

Value

A model spec of class "repnet_model" compatible with run_regional() and run_searchlight().

Examples

if (FALSE) { # \dontrun{
  # Requires repnet_design with seed_rdm
  # model <- repnet_model(dataset, design, repnet_des)
} # }